MSE Master of Science in Engineering

The Swiss engineering master's degree

Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories: 

  • 12-15 ECTS in technical scientific modules (TSM)
    TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules.
  • 9-12 ECTS in fundamental theoretical principles modules (FTP)
    FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation.
  • 6-9 ECTS in context modules (CM)
    CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.

In the module description (download pdf) you find the entire language information per module divided into the following categories:

  • instruction
  • documentation
  • examination 
Computational Fluid Dynamics (CFD) (TSM_CFD)

This module provides students with an introduction to CFD by imparting knowledge of state-of-the-art techniques in computational fluid dynamics, with the emphasis on fluid physics and verification/assessment.


  • Knowledge of fluid mechanics: laminar, turbulent, compressible, incompressible, steady-state and non-steady-state flow
  • Knowledge of thermodynamics: conservation of mass and energy, equation of state (ideal gas, incompressible fluid), heat capacity, thermal conductivity
  • Basic knowledge of numerical methods
  • Basic knowledge of CFD simulation methods and tools is desirable

Learning Objectives

Students who have completed this module are able to:

  • understand the potential of computational fluid dynamics for product development and be aware of its limits
  • verify simulation results and critically assess simulation models
  • understand the properties of the numerics behind the code

Contents of Module

  • Motivation: objectives of computational fluid dynamics, meaning and economic benefit of numerical simulation, integration of numerical simulation in product development, possibilities and limits
  • Introduction to physical and technical systems and their describing equations: fluid mechanics, thermodynamics, others
  • Idealization and modeling: classification of the simulation tasks (steady-state, transition, 2D, 3D, symmetry, etc.), modeling based on geometry, flow properties, boundary conditions
  • Verification and assessment: solving equations correctly, solving the correct equations, interpretation of simulation results, error possibilities and sources

Teaching and Learning Methods

Ex cathedra, practical exercises and case studies


  • H.K. Versteeg, W.Malalasekera, An Introduction to Computational Fluid Dynamics, Pearson Prentice Hall, 2007, Second Edition
  • F. Moukalled, L. Mangani, M. Darwish, The Finite Volume Method in Computational Fluid Dynamics, Springer, 2015
  • J. H. Ferziger, M. Peric, Computational Methods for Fluid Dynamics, Springer, 2002, Third Edition

Download full module description